| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2010-11 | Alaska Avalanche | NAHL | 29 | 1 | 5 | 6 | 0.207 | 0.0768 | 0.0804 | 0.2191 | 0.2292 |
| 2011-12 | Alaska Avalanche | NAHL | 56 | 1 | 19 | 20 | 0.357 | 0.1326 | 0.1322 | 0.3781 | 0.3770 |
| 2012-13 | Johnstown Tomahawks | NAHL | 56 | 10 | 22 | 32 | 0.571 | 0.2122 | 0.2009 | 0.6050 | 0.5728 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2015-16 | Minnesota State | D1 | WCHA | JR | 40 | 6 | 16 | 22 | 0.550 |
| 2014-15 | Minnesota State | D1 | WCHA | SO | 40 | 7 | 26 | 33 | 0.825 |
| 2013-14 | Minnesota State | D1 | WCHA | FR | 19 | 1 | 4 | 5 | 0.263 |
How to read this: NCAAe and D3e factors convert a player's junior PPG into expected NCAA scoring at the D1 or D3 level. Harder conferences → lower projected PPG for the same player. A strong junior player (e.g. USHL 0.90 PPG) will project much higher in NESCAC than Big Ten because the D3 scoring environment is lower-difficulty.
Strength factor: conferences above 1.0 are harder than average; below 1.0 are easier. The formula is: Base NCAAe PPG ÷ Conference Strength = Projected PPG.